Model of Dynamic Routes for Intelligent Police Patrolling

Patrolling and surveillance in cities around the world is a principal activity to guarantee the security of its citizens that is why nowadays the use of technology is of vital importance in order to identify offenses and criminal groups. The present article proposes the development of a model which...

Full description

Bibliographic Details
Main Authors: Cesar Guevara, Janio Jadán, César Zapata, Luis Martínez, Jairo Pozo, Edison Manjarres
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/2/19/1214
id doaj-8d87ea7b81464cc8bd0d543e6838277a
record_format Article
spelling doaj-8d87ea7b81464cc8bd0d543e6838277a2020-11-24T21:09:59ZengMDPI AGProceedings2504-39002018-10-01219121410.3390/proceedings2191214proceedings2191214Model of Dynamic Routes for Intelligent Police PatrollingCesar Guevara0Janio Jadán1César Zapata2Luis Martínez3Jairo Pozo4Edison Manjarres5Institute of Research, Development and Innovation—MIST, Universidad Indoamérica, Quito EC 170301, EcuadorInstitute of Research, Development and Innovation—MIST, Universidad Indoamérica, Quito EC 170301, EcuadorPolicía Nacional del Ecuador, Quito EC 170301, EcuadorPolicía Nacional del Ecuador, Quito EC 170301, EcuadorPolicía Nacional del Ecuador, Quito EC 170301, EcuadorPolicía Nacional del Ecuador, Quito EC 170301, EcuadorPatrolling and surveillance in cities around the world is a principal activity to guarantee the security of its citizens that is why nowadays the use of technology is of vital importance in order to identify offenses and criminal groups. The present article proposes the development of a model which generates dynamic routes applying artificial intelligence with the algorithm K-means, to identify critical points when patrolling a circuit within Ecuadorian territory. Also, the API tool from Google Maps is used to design the routes and the ways of transportation that are going to be utilized by the police agent. It showed good results in the testing phase and there has been developed a mobile application based on Android technology.https://www.mdpi.com/2504-3900/2/19/1214patrolling 1artificial intelligence 2k-means 3
collection DOAJ
language English
format Article
sources DOAJ
author Cesar Guevara
Janio Jadán
César Zapata
Luis Martínez
Jairo Pozo
Edison Manjarres
spellingShingle Cesar Guevara
Janio Jadán
César Zapata
Luis Martínez
Jairo Pozo
Edison Manjarres
Model of Dynamic Routes for Intelligent Police Patrolling
Proceedings
patrolling 1
artificial intelligence 2
k-means 3
author_facet Cesar Guevara
Janio Jadán
César Zapata
Luis Martínez
Jairo Pozo
Edison Manjarres
author_sort Cesar Guevara
title Model of Dynamic Routes for Intelligent Police Patrolling
title_short Model of Dynamic Routes for Intelligent Police Patrolling
title_full Model of Dynamic Routes for Intelligent Police Patrolling
title_fullStr Model of Dynamic Routes for Intelligent Police Patrolling
title_full_unstemmed Model of Dynamic Routes for Intelligent Police Patrolling
title_sort model of dynamic routes for intelligent police patrolling
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2018-10-01
description Patrolling and surveillance in cities around the world is a principal activity to guarantee the security of its citizens that is why nowadays the use of technology is of vital importance in order to identify offenses and criminal groups. The present article proposes the development of a model which generates dynamic routes applying artificial intelligence with the algorithm K-means, to identify critical points when patrolling a circuit within Ecuadorian territory. Also, the API tool from Google Maps is used to design the routes and the ways of transportation that are going to be utilized by the police agent. It showed good results in the testing phase and there has been developed a mobile application based on Android technology.
topic patrolling 1
artificial intelligence 2
k-means 3
url https://www.mdpi.com/2504-3900/2/19/1214
work_keys_str_mv AT cesarguevara modelofdynamicroutesforintelligentpolicepatrolling
AT janiojadan modelofdynamicroutesforintelligentpolicepatrolling
AT cesarzapata modelofdynamicroutesforintelligentpolicepatrolling
AT luismartinez modelofdynamicroutesforintelligentpolicepatrolling
AT jairopozo modelofdynamicroutesforintelligentpolicepatrolling
AT edisonmanjarres modelofdynamicroutesforintelligentpolicepatrolling
_version_ 1716756787538952192